2022
DOI: 10.1016/j.autcon.2022.104382
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Advancing building data models for the automation of high-fidelity regional loss estimations using open data

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Cited by 6 publications
(1 citation statement)
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“…More recently, Abdelhady et al (2022) presented a probabilistic methodology for fragility analysis of wooden residential buildings subjected to hurricane winds. The available literature predominantly focuses on structural performance, fragility analysis at the component and building level, as well as loss assessment under hurricane wind hazard (Ellingwood et al, 2004;Pinelli et al, 2004;Emanuel et al, 2006;Li and Ellingwood, 2009; Unnikrishnan and Barbato, 2017;Wang and Rosowsky, 2018;Pant and Cha, 2019a;Angeles and Kijewski-Correa, 2022;Klepac et al, 2022;Angeles and Kijewski-Correa, 2023;. While extensive research has been conducted regarding the structural performance of wooden buildings under wind loads, not enough attention has been given to the assessment of the benefits and efficiency of different adaptive measures, considering the anticipated changes in future hazards (e.g., adaptation methods, retrofitting, strengthening, and design improvement and enhancement).…”
Section: Introductionmentioning
confidence: 99%
“…More recently, Abdelhady et al (2022) presented a probabilistic methodology for fragility analysis of wooden residential buildings subjected to hurricane winds. The available literature predominantly focuses on structural performance, fragility analysis at the component and building level, as well as loss assessment under hurricane wind hazard (Ellingwood et al, 2004;Pinelli et al, 2004;Emanuel et al, 2006;Li and Ellingwood, 2009; Unnikrishnan and Barbato, 2017;Wang and Rosowsky, 2018;Pant and Cha, 2019a;Angeles and Kijewski-Correa, 2022;Klepac et al, 2022;Angeles and Kijewski-Correa, 2023;. While extensive research has been conducted regarding the structural performance of wooden buildings under wind loads, not enough attention has been given to the assessment of the benefits and efficiency of different adaptive measures, considering the anticipated changes in future hazards (e.g., adaptation methods, retrofitting, strengthening, and design improvement and enhancement).…”
Section: Introductionmentioning
confidence: 99%